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The goal of this project is to build a kidney stone detection model which detects kidney stones from X-Ray images using bounding box annotations.
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A YOLOv8 model was trained based on a training set of kidney X-Ray images.
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The application's UI design and model deployment were done using Streamlit.
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Dataset: https://www.kaggle.com/datasets/safurahajiheidari/kidney-stone-images
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Application URL: https://kidneystone-vitalinsight.streamlit.app/
